Evidence map›Paper›PMID 39886092›Full record

ArticleJournal of global infectious diseases

Epidemiology of Methicillin-resistant

Seraphine Nkie Esemu, Arnol Bowo-Ngandji, Roland Ndip Ndip, Jane-Francis Tatah Kihla Akoachere, Nene Kaah Keneh, Jean Thierry Ebogo-Belobo, Cyprien Kengne-Ndé, Donatien Serge Mbaga, Nicholas Tendongfor, Hortense Kamga Gonsu and 2 more

Abstract read
In one paragraph

Article in Journal of global infectious diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Seraphine Nkie EsemuDepartment of Microbiology and Parasitology, University of Buea, Buea, Cameroon.
Arnol Bowo-NgandjiDepartment of Microbiology, The University of Yaounde I, Yaoundé, Cameroon.
Roland Ndip NdipDepartment of Microbiology and Parasitology, University of Buea, Buea, Cameroon.
Jane-Francis Tatah Kihla AkoachereDepartment of Microbiology and Parasitology, University of Buea, Buea, Cameroon.
Nene Kaah KenehDepartment of Microbiology and Parasitology, University of Buea, Buea, Cameroon.
Jean Thierry Ebogo-BeloboCenter for Research in Health and Priority Pathologies, Institute of Medical Research and Medicinal Plants Studies, Yaoundé, Cameroon.
Cyprien Kengne-NdéFaculty of Medicine and Biomedical Sciences, Epidemiological Surveillance, Evaluation and Research Unit, National Aids Control Committee, Douala, Cameroon.
Donatien Serge MbagaDepartment of Microbiology, The University of Yaounde I, Yaoundé, Cameroon.
Nicholas TendongforDepartment of Public Health and Hygiene, University of Buea, Buea, Cameroon.
Hortense Kamga GonsuCenter for Research in Health and Priority Pathologies, Faculty of Medicine and Biomedical Sciences, The University of Yaounde I, Yaoundé, Cameroon.
Jean Paul Assam AssamDepartment of Microbiology, The University of Yaounde I, Yaoundé, Cameroon.
Lucy Mande NdipDepartment of Microbiology and Parasitology, University of Buea, Buea, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methicillin-resistant Methods: We used a comprehensive search strategy across databases such as Medline, Embase, Global Health, Web of Science, and Global Index Medicus, in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Articles were independently reviewed and selected based on a variety of criteria, including the inclusion of neonates tested for MRSA colonization during NICU stay, and the reporting of community-acquired and hospital-acquired MRSA (CA-MRSA and HA-MRSA) incidence levels. Exclusion criteria included studies outside NICUs, those focused on specific MRSA outbreaks or clinical infections, review studies, and those lacking abstracts or full texts. Five authors independently extracted data, which was summarized and checked for quality. Statistical analysis included a random-effects model to compute pooled proportions, stratification by geographical location, evaluation of heterogeneity, and examination of publication bias. Results: Our systematic review evaluated 62 studies out of an initial 536 records identified. The majority of the selected studies were conducted in high-income countries, primarily in the United States. From these studies, we estimated a cumulative incidence rate of 7.2% for MRSA colonization in NICUs. When the source of MRSA was considered, CA-MRSA incidence was 2.7%, while HA-MRSA incidence was notably higher at 11%. A subgroup analysis showed geographical differences in the cumulative incidence of MRSA colonization in NICUs, with Brazil having the lowest incidence and Taiwan the highest. The proportion of HA-MRSA colonization also varied significantly by country, with South Korea reporting higher incidence rates than the United States. However, the differences in CA-MRSA colonization rates between countries and WHO regions were not statistically significant. Conclusions: Our systematic review found a cumulative incidence of 7.2% for MRSA colonization in NICUs, with HA-MRSA (11%) being more prevalent than CA-MRSA (2.7%). Regional variations were detected, with Taiwan exhibiting the highest cumulative incidence and South Korea having both the highest CA-MRSA and HA-MRSA. These findings underline the substantial public health impact of MRSA, especially in NICUs, necessitating context-specific prevention and control strategies. Future research should strive to address these regional disparities and aspire to attain a more globally representative understanding of MRSA colonization rates.

Indexed as

Colonizationepidemiologymethicillin-resistant Staphylococcus aureusneonatal intensive care unitsneonates

Identifiers

PMID39886092
PMCPMC11775395

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.